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Staff Machine Learning Engineer
Apply To This JobJob Description
Phantom is a self-custody crypto wallet with ~$150M Series C funding. This Staff ML Engineer role architects growth/engagement ML systems — personalization, LTV forecasting, recommendation engines — for tens of millions of wallet users.
Responsibilities
- Architect ML systems for personalization, LTV forecasting, and recommendation engines across tens of millions of wallet users
- Build and scale MLOps infrastructure (Spark, Kafka, Ray, MLflow) supporting growth and engagement models
- Design and run causal inference and experimentation frameworks to measure feature impact
- Partner cross-functionally with product and growth teams to prioritize ML-driven engagement initiatives
What we are looking for
- Python, Scala, or Java
- PyTorch, TensorFlow, or JAX
- Causal inference and experimentation
- MLOps tooling (Spark, Kafka, Ray, MLflow)
- Recommendation systems
Additional Information
Fully remote role. Compensation includes competitive equity (unspecified amount); no crypto pay option and no disclosed salary range for this posting.
Perks and Benefits
- Remote-first culture
- Health coverage
- Equity participation
- Flexible time off
The Company: Phantom
Leading self-custodial crypto wallet for Solana, Ethereum, Bitcoin, and Polygon.
Read more ->
Phantom is looking for
People working in
Engineering >
Who specialize in
Machine Learning & AI
With these skills
Python/Scala/Java, PyTorch/TensorFlow/JAX, causal inference/experimentation, MLOps (Spark/Kafka/Ray/MLflow), recommendation systems
Willing to work
Full-time
With an experience level
Lead / Principal
Location
Remote • Remote
Capacity
40 hours/week
Equity option
Competitive equity (unspecified amount)
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